Evaluation of Dimensional and Aerodynamic Parameters for an Aircraft Radio Controlled through Genetic Algorithms and Design of Experiments

D. Amorim, C. D. Souza, A. Luis, Sergio Luiz Moni, Ribeiro Filho, F. Lahr, A. Christoforo
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Abstract

This paper presents a study of aircraft configuration TKV2012 that is more optimized as possible in all aspects of stage length, questions and restrictions established by the SAE Co mpetit ion BRAZIL Aero Design 2012. The analytical method for estimation of the aircraft aerodynamic coefficients was performed using the linear appro ximation to the theory of Multhopp. Design of Experiments (DOE) was used integrated into the genetic algorith m through the interface ModeFRONTIER®, version 4.3, the company Esteco®. We used the algorithm and Planning SOBOL MOGA II, with about 28 input variables, given the requirements: project report (containing plants and forecast payload), oral presentation, maximu m loaded weight, high structural efficiency, "accuracy" Predict ion Weight Loaded (Accuracy Project) and bonuses. The primary outcome variab le was the total score, since the goal was to maximize their. The results allowed to identify and optimize the d imensional parameters of the aircraft, as well as signaling the main factors that influence the total score, helping to define the configuration of the aircraft 2012.
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基于遗传算法的飞机无线电控制尺寸及气动参数评估与实验设计
本文介绍了一种飞机构型TKV2012的研究,该构型在SAE公司2012年巴西航空设计竞赛中建立的阶段长度、问题和限制等各个方面都尽可能地进行了优化。利用Multhopp理论的线性逼近,给出了飞机气动系数的解析估计方法。实验设计(DOE)通过Esteco®公司的modelfrontier®4.3版接口集成到遗传算法m中。我们使用了算法和Planning SOBOL MOGA II,有大约28个输入变量,给出了如下要求:项目报告(包含植物和预测载荷)、口头陈述、最大载荷、高结构效率、“准确性”预测载荷(准确性项目)和奖金。主要的结果变量是总分,因为目标是最大化他们的得分。结果允许识别和优化飞机的尺寸参数,以及信号的主要因素,影响总分,帮助确定飞机的配置2012。
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